王博岳

职称职务:副教授,博士/硕士研究生导师

E-mail:wby@bjut.edu.cn

通讯地址:北京人工智能研究院 M812

基本信息

王博岳,副教授,博士研究生导师,硕士研究生导师,信息学部人工智能与自动化学院、多媒体与智能软件技术北京市重点实验室、北京人工智能研究院教师。2018年获北京工业大学“优秀博士学位论文奖”和北京市教委“优秀毕业生”,2020年获“中国图学学会优秀博士学位论文奖”(全国一级学会优博),2021年入选“北京工业大学高端人才队伍建设计划”,2022年入选“北京市科协青年人才托举工程”。

主要研究方向

1.跨媒体数据分析:多粒度、多层次特征交互的视觉问答

1.跨媒体数据分析:视觉问答,假新闻检测

2.图结构学习:自适应图结构学习、多图结构学习及其聚类应用

3.知识图谱嵌入:静态知识图谱嵌入、时序知识图谱嵌入

4.智能交通领域应用研究:交通流预测、交通状态生成

Google学术主页:https://sites.google.com/site/boyuewang/

小组成员目前包括博士5名,硕士9名,氛围很融洽。现有多台A6000/4090/3090 GPU工作站,丰富的计算资源可供学生完成学习和科研任务,欢迎数学或编程基础较好且有志于科研的同学报考本方向硕士研究生、博士研究生。

教育背景

2012.9-2018.6,北京工业大学,计算机科学与技术专业,博士学位

2016.2-2017.2,澳大利亚查尔斯特大学,中国留学基金委联合培养博士项目

2008.9-2012.7,河北工业大学,计算机科学与技术专业,学士学位

工作经历

2018.7-2021.1,北京工业大学,控制科学与工程专业,师资博士后

2019.7-2021.6,北京工业大学信息学部、北京人工智能研究院,讲师

2021.7-至今, 北京工业大学信息学部、北京人工智能研究院,副教授

主要科研项目

1.国家重点研发计划,面向社会治理案(事)件要素关联的多模态数据语义建模技术研究,2023-2026,课题负责人;

2.国家自然科学基金重大研究计划培育项目,数据知识双驱动的社会媒体短视频内容推理分析,2024-2026,负责人;

3.国家自然科学基金面上项目,流形空间多图结构学习方法及其跨模态应用研究,2023-2026,负责人;

4.国家自然科学基金青年项目,流形空间不完整多视图像视频的聚类,2020-2022,负责人;

5.北京市自然科学基金青年项目,多视视频数据的自动编码机聚类模型,2020-2021,负责人;

6.北京市教委科研计划科技一般项目,基于乘积流形表示的部分多视聚类研究,2020-2022,负责人;

7.中国博士后科学基金面上项目一等资助,基于多视视频数据的深度子空间聚类模型,2018-2020,负责人;

8.北京市博士后科研活动经费资助,面向不完整多视视频的多流形聚类模型,2019-2020,负责人。

代表性成果

以第一作者或通讯作者发表学术论文10余篇,包括SCI期刊IEEE TNNLS、IEEE TCSVT、IEEE TMM、IEEE TKDE、IEEE TITS、Pattern Recognition、ACM TKDD和顶级国际会议AAAI、IJCAI等。

[20]Boyue Wang, Yujian Ma, Xiaoyan Li, Junbin Gao, Yongli Hu, Baocai Yin. Bridging the Cross-Modality Semantic Gap in Visual Question Answering.IEEE Transactions on Neural Networks and Learning Systems, 2024.

[19]Jiapu Wang,Boyue Wang, Junbin Gao, Simin Hu, Yongli Hu, Baocai Yin. Multi-Level Interaction Based Knowledge Graph Completion. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023.

[18]Xiaxia He,Boyue Wang*, Ruikun Li, Junbin Gao, Yongli Hu, Guangyu Huo, Baocai Yin. Graph Structure Learning Layer and its Graph Convolution Clustering Application.Neural Networks,2023.

[17]Jiapu Wang,Boyue Wang*, Junbin Gao, Xiaoyan Li, Yongli Hu, Baocai Yin. QDN: A Quadruplet Distributor Network for Temporal Knowledge Graph Completion.IEEE Transactions on Neural Networks and Learning Systems, 2023.(IF:10.451, SCI中科院一区)

[16]Jiapu Wang,Boyue Wang*, Junbin Gao, Xiaoyan Li, Yongli Hu, Baocai Yin. TDN: Triplet Distributor Network for Knowledge Graph Completion.IEEE Transactions on Knowledge and Data Engineering, 2023.

[15]Jiapu Wang,Boyue Wang*, Junbin Gao, Yongli Hu, Baocai Yin. Multi-Concept Representation Learning for Knowledge Graph Completion.ACM Transactions on Knowledge Discovery from Data, 2023.

[14]Xiaxia He,Boyue Wang*, Junbin Gao, Yongli Hu, Baocai Yin. Parallelly adaptive graph convolutional clustering model.IEEE Transactions on Neural Networks and Learning Systems,2022. (IF:10.451, SCI中科院一区)

[13]Guangyu Huo, Yong Zhang,Boyue Wang*, Yongli Hu, Baocai Yin. Hierarchical Spatio–Temporal Graph Convolutional Networks and Transformer Network for Traffic Flow Forecasting.IEEE Transactions on Intelligent Transportation Systems, 2022.(IF:6.492, SCI中科院一区)

[13]Guangyu Huo, Yong Zhang,Boyue Wang*, Yongli Hu, Baocai Yin. Text-to-Traffic Generative Adversarial Network for Traffic Situation Generation.IEEE Transactions on Intelligent Transportation Systems, 2021.(IF:6.492, SCI中科院一区)

[12]Guangyu Huo, Yong Zhang, Junbin Gao,Boyue Wang*, Yongli Hu, Baocai Yin. CaEGCN: Cross-Attention Fusion based Enhanced Graph Convolutional Network for Clustering.IEEE Transactions on Knowledge and Data Engineering, 2021.(IF:6.977, SCI中科院二区)

[11]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Fujiao Ju, Baocai Yin. Adaptive Fusion of Heterogeneous Manifolds for Subspace Clustering.IEEE Transactions on Neural Networks and Learning Systems,2021. (IF:10.451, SCI中科院一区)

[10]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Fujiao Ju, Baocai Yin. Learning Adaptive Neighborhood Graph on Grassmann Manifolds for Video/Image-Set Subspace Clustering.IEEE Transactions on Multimedia,2021. (IF:6.051, SCI中科院一区)

[9]Yongli Hu, Zuolong Song,Boyue Wang*, Junbin Gao, Yanfeng Sun, Baocai Yin.AKM3C: Adaptive K-Multiple-Means for Multi-view Clustering.IEEE Transactions on Circuits and Systems for Video Technology, 2018.(IF:4.133, SCI中科院二区)

[8]Boyue Wang, Yongli Hu, Junbin Gao, Muhammad Ali, David Tien, Yanfeng Sun, Baocai Yin. Low Rank Representation on SPD Matrices with Log-Euclidean Metric.Pattern Recognition, 2018.(IF:7.196, SCI中科院一区)

[7]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin. Localized LRR on Grassmann Manifold: An Extrinsic View.IEEE Transactions on Circuits and Systems for Video Technology, 2018.(IF:4.133, SCI中科院二区)

[6]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin. Partial Sum Minimization of Singular Values Representation on Grassmann Manifold.ACM Transactions on Knowledge Discovery from Data, 2018.(IF:1.974, SCI中科院三区)

[5]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin. Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multi-camera Video Surveillance.IEEE Transactions on Circuits and Systems for Video Technology, 2017.(IF:4.133, SCI中科院二区)

[4]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin. Product Grassmann Manifold Representation and its LRR Models. InAmerican Association for Artificial Intelligence (AAAI), 2016. (CCF-A)

[3]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Muhammad Ali, Haoran Chen and Baocai Yin. Locality Preserving Projections for Grassmann Manifolds. InInternational Joint Conference on Artificial Intelligence (IJCAI), 2017. (CCF-A)

[2]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun and Baocai Yin. Cascaded Low Rank and Sparse Representation on Grassmann Manifolds. InInternational Joint Conference on Artificial Intelligence (IJCAI), 2018. (CCF-A)

[1]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin. Low rank representation on Grassmann manifolds. InAsian Conference on Computer Vision (ACCV), 2014. (CCF-C)

联系方式

E-mail:wby@bjut.edu.cn

地址:北京工业大学理科楼 北京人工智能研究院M812

学校地址:北京市朝阳区平乐园100号
邮政编码:100124

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